Holding a Bachelor's degree in Mathematics from UFES (2011) and earning both a Master's and a PhD in Computational Modeling from UFJF (2014 and 2018), this professional has considerable experience in academic research, including a tenure at LAMEMO/COPPE/PEC/UFRJ between 2018 and 2020. Additionally, the individual has served as a substitute professor in the computer science department at UFSJ. Their technical expertise encompasses backend and data development, with a robust proficiency in numerical methods, applied mathematics, and various programming languages and tools such as Fortran, Python, Pandas, SQLAlchemy, SQL, JavaScript, and React.

Web Developer with five years of professional experience, specializing in JavaScript and demonstrating proficiency in technologies including ReactJS (versions 15 and 16+), Vue 2+, Angular 2+, and NodeJS. Additionally experienced in Java Web, OracleSQL, HTML/CSS, and Apache Kafka.

Experienced PHP Developer with over 14 years of expertise, proficient in frameworks such as Zend 2, Codeigniter, and Laravel. Contributed significantly to the GETSONGS project, employing Laravel for CRM development. Demonstrates strong skills in managing relational databases, including MYSQL and POSTGRES, with extensive experience in creating RESTful applications and some proficiency in JavaScript (JQuery). Adept in version control using GIT and has substantial knowledge in CSS (SASS) and Bootstrap. Experience with Docker environments and agile methodologies is still to be acquired.

A frontend developer with three years of experience, recognized for involvement in significant projects, demonstrating proficiency in collaborating with remote teams and managing outsourced tasks. Routinely engaged in high-demand product development, leveraging state-of-the-art technologies and adhering to best development practices. Specializes in web development utilizing React and its associated technologies, complemented by additional expertise in Flask, Node, and GraphQL.

A seasoned developer with over a decade of professional experience, spanning freelance projects, full-stack development, and CTO roles, possesses a profound passion for delving deeply into the technological landscape. Commitment to continual self-improvement drives an unrelenting pursuit to exceed expectations, with a meticulous focus on understanding functional intricacies at a granular level. This individual’s capabilities extend beyond programming, encompassing a blend of entrepreneurial and managerial acumen that complements their technical proficiency.

Expertise encompasses microservices architecture, Kubernetes, Docker, and various queuing mechanisms, along with cloud technologies, including deployment strategies, queue management, and lambda functions. Proficiency is demonstrated in both cloud-based and bare-metal infrastructure optimization. Backend development skills include creating RESTful APIs, implementing JWT authentication, middleware integration, and automated testing, primarily using Node.js and PHP. Database management experience covers MongoDB, PostgreSQL, SQL Server, and MySQL. Frontend development expertise includes leveraging frameworks such as React.js, React Native, and Vue.js, along with webhooks integration, API consumption, and application flux management.

Fullstack developer with expertise in Data Science, Quality Assurance, and Infrastructure. Specializing in building solutions that enhance the quality of life for users. Proficient in Groovy, Java, Python, JavaScript, and AngularJS, with practical knowledge of Apache Airflow and adherence to SOLID principles. Skilled in utilizing the ELK stack and proficient in AWS services including EC2, S3, Lambda, and CodeCommit. Experienced with GIT version control, containerization using Docker, and orchestration with Kubernetes. Competent in Behavior-Driven Development using SpecFlow. Adaptable to remote work environments.

Possessing a degree in Superior Technology in Telematics, with expertise as a back-end developer specializing in Golang, JavaScript/TypeScript, and Python. Experienced in conducting research and developing solutions in the field of information security. Demonstrates a strong enthusiasm for technology and development, with a particular focus on application scalability, optimal programming practices, Test-Driven Development (TDD), and maintaining clean code.

A seasoned professional with over a decade of experience in hardware, software, web development, and audiovisual production. Demonstrates strong expertise in collaborative teamwork, initiative, and effective communication skills. Possesses substantial knowledge in DevOps, Docker, Blockchain, and emerging technologies. Extensive experience in the audiovisual domain, including the capture and editing of audio and video content for television, cinema, and advertising.

Google Flan-UL2 is a language model developed by Google that enhances natural language understanding and generation capabilities. It is designed to perform various tasks such as text completion, translation, summarization, and question-answering by leveraging advanced machine learning techniques.

A Google Flan-UL2 expert must have skills in machine learning, natural language processing, and deep learning frameworks such as TensorFlow or PyTorch. They should be proficient in programming languages like Python, understand model fine-tuning techniques, and be capable of handling large datasets for training and evaluation.

How to hire a Google Flan-UL2 expert

Google Flan-UL2 was developed by Google as part of its ongoing efforts to advance natural language processing technologies. It was created to improve the capabilities of language models in understanding and generating human-like text. The exact year of its creation and specific individuals involved were not publicly detailed, but it followed the lineage of Google's previous work in AI and machine learning.

About Google Flan-UL2

Strengths of Google Flan-UL2 include advanced natural language understanding, high-quality text generation, and versatility in handling various tasks. Weaknesses may involve computational resource requirements and potential biases in training data. Competitors include 

Google Flan-UL2

Top 5*

Large Language Models (LLMs)

About Google Flan-UL2

How to hire a Google Flan-UL2 expert

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